Title :
A class of facility location model and its application
Author :
Zhang, Yuan ; Xu, Jiuping
Author_Institution :
Sichuan Univ., Chengdu
Abstract :
In the logistics system, the facility location problem, which can be used to determine the mode, the structure and the form of the whole logistics system, is a very important decision problem in the logistics network. Often uncertainty may be associated with demand, supply or various relevant costs. In some cases, roughness and fuzziness simultaneously appear in a system, in order to describe this phenomena, we introduce the concept of hybrid variable and propose a mixed integer programming model for rough fuzzy facilities location problem.
Keywords :
decision making; facility location; fuzzy set theory; integer programming; rough set theory; decision problem; logistics system; mixed integer programming model; rough fuzzy facilities location problem; Books; Chromium; Costs; Fuzzy systems; Genetic algorithms; Investments; Linear programming; Logistics; Transportation; Uncertainty; facility location; hybrid variable; rough fuzzy; st-GA;
Conference_Titel :
Industrial Engineering and Engineering Management, 2007 IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1529-8
Electronic_ISBN :
978-1-4244-1529-8
DOI :
10.1109/IEEM.2007.4419141